NDLI: Using Ontology for Personalized Mobile Message Computation

Content Provider	IEEE Xplore Digital Library
Author	Li-Hua Li Fu-Ming Lee Yu-Chien Chou Tsung-Jen Pu
Copyright Year	2010
Abstract	With the convenient of mobile device, mobile users are able to “pull” or “push” the mobile message at anytime and anywhere. The power of mobile message has turned into an important marketing power. However, how to utilize the availability and the quick-viewing convenience of mobile message to match the personal needs are not discussed. From the past studies, we notice that the studies of mobile recommendation focus more on location service and push service; few studies are focusing on personal mobile-message recommendation and its performance. In order to provide the personalized services, this research proposes three computation processes for conducting the mobile message recommendation. We apply ontology to construct the user preference profile and the message template containing the product information or service information. For personalized recommendation, the user preference profile and the message template are compared. The ontology matching techniques are proposed, they are: (1) Breadth-First-Matching (BFM), (2) Depth-First-Matching (DFM), and (3) Node-Index-Matching (NIM). The experiments are designed for examining the message “pull” service. To prove the proposed matching computations are applicable, the evaluation metrics use matching count for performance comparison. The experimental results show that the Node-Index-Matching (NIM) outperforms the other two matching methods and is good for the mobile message recommendation.
Starting Page	1255
Ending Page	1262
File Size	396452
Page Count	8
File Format	PDF
ISBN	9781424466955
ISSN	1550445X
e-ISBN	9781424466962
DOI	10.1109/AINA.2010.140
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-20
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ontologies Mobile computing Message service Information analysis Artificial neural networks Computer networks Information management Chaotic communication Availability Design for manufacture Recommendation Mobile Message Ontology Personalization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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